Capstone Project: Dog Diseases Classification and Prediction though Genetic Composition

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MS Analytics Capstone Project: Embark Veterinary

1 Introduction

My capstone project was a collaboration with Embark Veterinary, a provider of genetic testing services for dogs. The project aimed to improve our ability to predict a particular set of health conditions and fur/coat color traits based on the dog’s genetic condition. The goal of this project was to apply broader supervised methods to predict the disease state directly from the raw, unclustered genetic assay data. The following technologies were utilized:

  • Pandas
  • Matplotlib
  • Sklearn
  • Python Jupyter notebooks

Additionally, the following predicitive algorithms were utilized:

  • Multi-nominal Logistic Regression
  • k-NN
  • SVM
  • Random Forest

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